Now we have lables and it’s starting to take shape! Far from a perfect product. I would like to add a hover effect with a link to more info about each point, representing the schools where a students participate on the ORExt. Also, while county lines are benificial to help define the state territory, district boundaries would be more appropriate as this is exclusivly educational data.
Making progress from the previous. Not only are the points easier to read but, now the counties are outlined in grey to help orient (spacial layout) the participation data across the state. Still needs lables.
I got a start here. At least the map is of oregon, in green (Go Ducks) and it has the participation points on the map. Still has lat and long for x and y lables and the points are too hard to see.
Simple data viz. I wanted to show basic demographics, number of participants by disability categorie and this plot servers that pourpose. Could still use some work, title could be larger, nudge the bars closer to the lables…
I really wanted to go with a plot like this. I tried to get the white text anotation to work at the end of the bar plots. I could not figure out how to nudge left/right and get the data to read fully.
This is a work of art, if you like Jackson Pollock’s ink splatters! The basic communication is there but obviously the disability labels are overlapping and not legible.
Added theme dark on a total whim from D.A’s recomendation and it really works for me. The disability labels above each of the facet wraps are now readable and the data seems to pop more. I limited the disability categories from the previous without numbers or meaningful data. Stil could use some work like changing gnder to gender and providing some lables…
This is the output I was shooting for. Density of male/female, facet wrapped by disability category. I don’t like the outputs with few participants (TBI and Visual Imparment) and those with “Not Applicable” at the disability categorie. I just don’t think they communicate useful information other than a small n size.
This is how I got started. Basic distribution of scores by number of participants. I don’t know why but, I left this here because sometimes the simplest of plots still communicates the message. Lot’s of the outputs in our ORExt tech report are simple and straight forward like this output.